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EEG Based Classification of Long-Term Stress Using Psychological Labeling

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References

1990Chronic stress, acute stress, and depressive symptoms358 cited
2002Neurobiology of early life stress: Clinical studies307 cited
2017Machine Learning Framework for the Detection of Mental Stress at Multiple Levels274 cited
2019Human stress classification using EEG signals in response to music tracks217 cited
2019Classification of Perceived Mental Stress Using A Commercially Available EEG Headband198 cited
2019A Novel Wearable EEG and ECG Recording System for Stress Assessment193 cited
2017Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach192 cited
2016EEG based stress level identification158 cited

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2022ECG-Based Driver’s Stress Detection Using Deep Transfer Learning and Fuzzy Logic Approaches

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55 cited

2021Explainable artificial intelligence to evaluate industrial internal security using EEG signals in IoT framework53 cited

2021EEG Mental Stress Assessment Using Hybrid Multi-Domain Feature Sets of Functional Connectivity Network and Time-Frequency Features51 cited

2023ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study45 cited